Artificial intelligence for biomarker discovery in alzheimer's disease and dementia
Author(s)
Type
Journal Article
Abstract
With the increase in large multimodal cohorts and high-throughput technologies, the potential for discovering novel biomarkers is no longer limited by data set size. Artificial intelligence (AI) and machine learning approaches have been developed to detect novel biomarkers and interactions in complex data sets. We discuss exemplar uses and evaluate current applications and limitations of AI to discover novel biomarkers. Remaining challenges include a lack of diversity in the data sets available, the sheer complexity of investigating interactions, the invasiveness and cost of some biomarkers, and poor reporting in some studies. Overcoming these challenges will involve collecting data from underrepresented populations, developing more powerful AI approaches, validating the use of noninvasive biomarkers, and adhering to reporting guidelines. By harnessing rich multimodal data through AI approaches and international collaborative innovation, we are well positioned to identify clinically useful biomarkers that are accurate, generalizable, unbiased, and acceptable in clinical practice.
Highlights
Artificial intelligence and machine learning approaches may accelerate dementia biomarker discovery.
Remaining challenges include data set suitability due to size and bias in cohort selection.
Multimodal data, diverse data sets, improved machine learning approaches, real-world validation, and interdisciplinary collaboration are required.
Highlights
Artificial intelligence and machine learning approaches may accelerate dementia biomarker discovery.
Remaining challenges include data set suitability due to size and bias in cohort selection.
Multimodal data, diverse data sets, improved machine learning approaches, real-world validation, and interdisciplinary collaboration are required.
Date Issued
2023-12-28
Date Acceptance
2023-06-19
Citation
Alzheimer's and Dementia, 2023, 19 (12), pp.5860-5871
ISSN
1552-5260
Publisher
Wiley
Start Page
5860
End Page
5871
Journal / Book Title
Alzheimer's and Dementia
Volume
19
Issue
12
Copyright Statement
© 2023 The Authors. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001080247000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
A-BETA
AI
ALZHEIMERS-DISEASE
ASSOCIATION
biomarker discovery
BLOOD BIOMARKERS
CEREBROSPINAL-FLUID
Clinical Neurology
dementia
INCIDENT DEMENTIA
Life Sciences & Biomedicine
machine learning
METAANALYSIS
MILD COGNITIVE IMPAIRMENT
multimodal
Neurosciences & Neurology
RISK
Science & Technology
TAU
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2023-08-31